Odds Ratios: Do most people get them wrong? episode artwork

EPISODE · Jun 1, 2026 · 53 MIN

Odds Ratios: Do most people get them wrong?

from Normal Curves: Sexy Science, Serious Statistics · host Regina Nuzzo and Kristin Sainani

Odds ratios show up everywhere in medical research—but do readers, journalists, and even researchers always know what they mean? In this episode, we tackle one of the most common statistical misunderstandings in science: treating odds ratios like risk ratios. Along the way, we explore puppy photos, fish photos, first-date hookups, sugary drinks, cardiac care, and a listener challenge that started with an informal study of five medical residents and a box of chocolate truffles. We explain why logistic regression produces odds ratios, when odds ratios can wildly exaggerate effects, and why some famous headlines turned out to be much less dramatic than they sounded.Statistical topicsbinary outcomescase-control studieslogistic regressionodds ratiosrisk ratiosodds vs risk Methodological morals“Just because logistic regression gives you an odds ratio does not mean you have to report it.”“A lot of bad science communication starts long before the journalist even enters the story.”ReferencesBleich SN, Herring BJ, Flagg DD, et al. Reduction in purchases of sugar-sweetened beverages among low-income Black adolescents after exposure to caloric information. Am J Public Health. 2012;102:329–35.Sainani KL. How Statistics Can Mislead. Am J Public Health. 2012. 2012;102:e3–e4.Bleich SN, Herring BJ, Flagg DD, et al. Bleich et al. respond. Am J Public Health. 2012;102:e4.  Press video: https://www.youtube.com/watch?v=IFyrqbf1XWs Sainani KL, Schmajuk G, Liu V. A Caution on Interpreting Odds Ratios. Sleep. 2009;32:976.Schulman KA, Berlin JA, Harless W, et al. The Effect of Race and Sex on Physicians' Recommendations for Cardiac Catheterization. NEJM. 1999;340:618–26.Schwartz LM, Woloshin S, Welch HG. Misunderstandings about the Effects of Race and Sex on Physicians' Referrals for Cardiac Catheterization. NEJM. 1999;341:279–83.Associated Press. Study Finds Bias in Doctors' Care of Women and Blacks. The New York Times. February 25, 1999.Knol MJ, Duijnhoven RG, Grobbee DE, et al. Potential Misinterpretation of Treatment Effects Due to Use of Odds Ratios and Logistic Regression in Randomized Controlled Trials. PLoS ONE. 2011;6:e21248.  More information on logistic regression and odds ratios:Sainani KL. Logistic Regression. PM&R. 2014;6:1157–62.Sainani KL. Understanding Odds Ratios. PM&R. 2011;3:263–67.Nuzzo RL. Communicating measures of relative risk in plain English. PM&R. 2022;14:283-287.When outcomes are common, odds ratios can exaggerate effect sizes. Alternatives include:Presenting raw percentages (absolute risks)Presenting adjusted percentages from logistic regression (these may be calculated by plugging in means for the covariates)Converting odds ratios to risk ratiosReporting risk ratios directly when appropriateConverting Odds Ratios to Risk Ratios:Zhang J, Yu KF. What's the Relative Risk? A Method of Correcting the Odds Ratio in Cohort Studies of Common Outcomes. JAMA. 1998;280:1690–91.ClinCalc. Odds Ratio to Relative Risk Calculator. https://clincalc.com/stats/convertor.aspxRR = OR / [(1 − P0) + (P0 × OR)]Example:OR=0.51, baseline risk=93.3%RR = 0.51 / [(1 − 0.933) + (0.933 × 0.51)]= 0.51 / (0.067 + 0.476)= 0.51 / 0.543= 0.94Thus, an odds ratio of 0.51 corresponds to a risk ratio of 0.94 when the baseline risk is 93.3%.The corresponding unadjusted risk ratio is 86%/93.3%=0.92Correction: In the episode, we stated that the adjusted risk ratio was 0.92. In fact, it is 0.94, as shown above. 0.92 is the unadjusted risk ratio. Kristin and Regina’s online courses: Demystifying Data: A Modern Approach to Statistical Understanding  Clinical Trials: Design, Strategy, and Analysis Medical Statistics Certificate Program  Writing in the Sciences Epidemiology and Clinical Research Graduate Certificate Program Programs that we teach in:Epidemiology and Clinical Research Graduate Certificate Program Find us on:Kristin -  LinkedIn & Twitter/XRegina - LinkedIn & ReginaNuzzo.com(00:00) - Introduction (02:54) - What Are Odds Ratios? (04:02) - Puppy Photos and First Dates (06:09) - Risk Ratio Explained (08:10) - Calculating Odds Ratios (11:09) - Fish Photos and Reversed Numbers (16:01) - Real-Life Example: Sugary Beverages (22:08) - How Logistic Regression Works (31:53) - The Video: Researchers Made the Mistake Themselves (36:30) - The Cardiac Catheterization Study (39:24) - The New York Times Printed a Correction (46:10) - Using OR and RR Interchangeably for Case Control (47:00) - Reye Syndrome and Aspirin (49:37) - Rating the Claim and Methodological Morals

Episode metadata supplied by the publisher feed · Published Jun 1, 2026

Odds ratios show up everywhere in medical research—but do readers, journalists, and even researchers always know what they mean? In this episode, we tackle one of the most common statistical misunderstandings in science: treating odds ratios like risk ratios. Along the way, we explore puppy photos, fish photos, first-date hookups, sugary drinks, cardiac care, and a listener challenge that started with an informal study of five medical residents and a box of chocolate truffles. We explain why logistic regression produces odds ratios, when odds ratios can wildly exaggerate effects, and why some famous headlines turned out to be much less dramatic than they sounded.Statistical topicsbinary outcomescase-control studieslogistic regressionodds ratiosrisk ratiosodds vs risk Methodological morals“Just because logistic regression gives you an odds ratio does not mean you have to report it.”“A lot of bad science communication starts long before the journalist even enters the story.”ReferencesBleich SN, Herring BJ, Flagg DD, et al. Reduction in purchases of sugar-sweetened beverages among low-income Black adolescents after exposure to caloric information. Am J Public Health. 2012;102:329–35.Sainani KL. How Statistics Can Mislead. Am J Public Health. 2012. 2012;102:e3–e4.Bleich SN, Herring BJ, Flagg DD, et al. Bleich et al. respond. Am J Public Health. 2012;102:e4.  Press video: https://www.youtube.com/watch?v=IFyrqbf1XWs Sainani KL, Schmajuk G, Liu V. A Caution on Interpreting Odds Ratios. Sleep. 2009;32:976.Schulman KA, Berlin JA, Harless W, et al. The Effect of Race and Sex on Physicians' Recommendations for Cardiac Catheterization. NEJM. 1999;340:618–26.Schwartz LM, Woloshin S, Welch HG. Misunderstandings about the Effects of Race and Sex on Physicians' Referrals for Cardiac Catheterization. NEJM. 1999;341:279–83.Associated Press. Study Finds Bias in Doctors' Care of Women and Blacks. The New York Times. February 25, 1999.Knol MJ, Duijnhoven RG, Grobbee DE, et al. Potential Misinterpretation of Treatment Effects Due to Use of Odds Ratios and Logistic Regression in Randomized Controlled Trials. PLoS ONE. 2011;6:e21248.  More information on logistic regression and odds ratios:Sainani KL. Logistic Regression. PM&R. 2014;6:1157–62.Sainani KL. Understanding Odds Ratios. PM&R. 2011;3:263–67.Nuzzo RL. Communicating measures of relative risk in plain English. PM&R. 2022;14:283-287.When outcomes are common, odds ratios can exaggerate effect sizes. Alternatives include:Presenting raw percentages (absolute risks)Presenting adjusted percentages from logistic regression (these may be calculated by plugging in means for the covariates)Converting odds ratios to risk ratiosReporting risk ratios directly when appropriateConverting Odds Ratios to Risk Ratios:Zhang J, Yu KF. What's the Relative Risk? A Method of Correcting the Odds Ratio in Cohort Studies of Common Outcomes. JAMA. 1998;280:1690–91.ClinCalc. Odds Ratio to Relative Risk Calculator. https://clincalc.com/stats/convertor.aspxRR = OR / [(1 − P0) + (P0 × OR)]Example:OR=0.51, baseline risk=93.3%RR = 0.51 / [(1 − 0.933) + (0.933 × 0.51)]= 0.51 / (0.067 + 0.476)= 0.51 / 0.543= 0.94Thus, an odds ratio of 0.51 corresponds to a risk ratio of 0.94 when the baseline risk is 93.3%.The corresponding unadjusted risk ratio is 86%/93.3%=0.92Correction: In the episode, we stated that the adjusted risk ratio was 0.92. In fact, it is 0.94, as shown above. 0.92 is the unadjusted risk ratio. Kristin and Regina’s online courses: Demystifying Data: A Modern Approach to Statistical Understanding  Clinical Trials: Design, Strategy, and Analysis Medical Statistics Certificate Program  Writing in the Sciences Epidemiology and Clinical Research Graduate Certificate Program Programs that we teach in:Epidemiology and Clinical Research Graduate Certificate Program Find us on:Kristin -  LinkedIn & Twitter/XRegina - LinkedIn & ReginaNuzzo.com(00:00) - Introduction (02:54) - What Are Odds Ratios? (04:02) - Puppy Photos and First Dates (06:09) - Risk Ratio Explained (08:10) - Calculating Odds Ratios (11:09) - Fish Photos and Reversed Numbers (16:01) - Real-Life Example: Sugary Beverages (22:08) - How Logistic Regression Works (31:53) - The Video: Researchers Made the Mistake Themselves (36:30) - The Cardiac Catheterization Study (39:24) - The New York Times Printed a Correction (46:10) - Using OR and RR Interchangeably for Case Control (47:00) - Reye Syndrome and Aspirin (49:37) - Rating the Claim and Methodological Morals

PodParley-generated summary based on available episode metadata and transcript content.

NOW PLAYING

Odds Ratios: Do most people get them wrong?

0:00 53:52

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

French Your Way Jessica: Native French teacher founder of French Your Way Boost your French listening skills and test your comprehension with this one of a kind series of podcasts. Get the chance to listen to a real conversation between native speakers talking at normal speed AND customise your learning experience through carefully designed sets of questions (2 levels of difficulty) available for download at www.frenchvoicespodcast.com. All interviews also come with the transcript. French teacher Jessica interviews native speakers of French from around the world who share a bit of their life and passion. Where else would you meet in one same place a French yoga teacher based in Melbourne, a soap manufacturer from Provence, or a couple cycling around the world? The Lee Olsen Show Lee Olsen CJF I want to help you improve all areas of your life by 3 types of podcasts!👉Blood, Sweat & Blessings-Interviews of normal people that have achieved BIG things!👉Series!!! For Love of the Horse- Brad Jackman DVM & Lee Olsen CJF, how to help your horse!👉Business Tips- Proven Life Changing Business Strategies with Lee Olsen Elevatin' The GetRight Spot & The Love Algorithm Elevatin' The GetRight Spot & The Love Algorithm A podcast that expresses the journey of taking ideas and turning them into a successful website and business. Using an ideology, philosophy and mental science as motivation, we shall Elevate Bodybyloud! and The GetRight Spot. We also inspire everyone to elevate their lives and go after their dreams, desires., and abundance. The Health Odyssey: Navigating Tomorrow's Medicine Podcast Welcome to 'The Health Odyssey: Navigating Tomorrow's Medicine,' where we embark on an adventurous journey through the ever-evolving world of healthcare. Each episode is like a treasure map, guiding you through the rich tapestry of ancient healing arts mixed with futuristic tech wizardry. We’ll chat about the wild west of health data privacy, the corporate giants reshaping our care, and the mind-bending potential of psychedelics for mental wellness. Think of us as your trusty sidekicks, unraveling the mysteries of modern medicine while keeping it real and relatable. Let’s dive into the stories, the science, and the soul of healthcare, paving the way for a healthier tomorrow.

Frequently Asked Questions

How long is this episode of Normal Curves: Sexy Science, Serious Statistics?

This episode is 53 minutes long.

When was this Normal Curves: Sexy Science, Serious Statistics episode published?

This episode was published on June 1, 2026.

What is this episode about?

Odds ratios show up everywhere in medical research—but do readers, journalists, and even researchers always know what they mean? In this episode, we tackle one of the most common statistical misunderstandings in science: treating odds ratios like...

Can I download this Normal Curves: Sexy Science, Serious Statistics episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!